In integrating topological insulators (TIs) with conventional materials, one crucial issue is how the topological surface states (TSS) will behave in such heterostructures. We use first-principles approaches to establish accurate tunability of the vertical location of the TSS via intriguing dual-proximity effects. By depositing a conventional insulator (CI) overlayer onto a TI substrate (Bi₂Se ...

Bi-objective portfolio optimization for minimizing risk and maximizing expected return has received considerable attention using evolutionary algorithms. Although the problem is a quadratic programming (QP) problem, the practicalities of investment often make the decision variables discontinuous and introduce other complexities. In such circumstances, usual QP solution methodologies can not alw...

Inbred (C57BL; C3H/Bi), hybrid (C57BL x C3H/Bi), and outbred (TO) mice thymectomized within 24 hours of birth develop wasting symptoms and die prematurely and a proportion of these animals have pathological changes in the liver. The incidence of the liver lesions varies according to the strain of mice used and the lesions tend to occur in animals dying comparatively late. These lesions were sho...

Recently, the rapid development of word embedding and neural networks has brought new inspiration to various NLP and IR tasks. In this paper, we describe a staged hybrid model combining Recurrent Convolutional Neural Networks (RCNN) with highway layers. The highway network module is incorporated in the middle takes the output of the bidirectional Recurrent Neural Network (Bi-RNN) module in the ...

Statistical-based collocation extraction approaches suffer from (1) low precision rate because high co-occurrence bi-grams may be syntactically unrelated and are thus not true collocations; (2) low recall rate because some true collocations with low occurrences cannot be identified successfully by statistical-based models. To integrate both syntactic rules as well as semantic knowledge into a s...

We describe a hybrid bi-level decomposition scheme that addresses the challenge of solving a large-scale two-stage stochastic programming problem with mixed-integer recourse, which results from a multi-scale capacity planning problem as described in part I of this paper series. The decomposition scheme combines bi-level decomposition with Benders decomposition, and relies on additional strength...

Hierarchical mixed-order tangential vector finite elements (TVFEs) for tetrahedra are attractive for accurate and efficient finite element or hybrid finite element/boundary integral (FE/BI) simulation of complicated electromagnetic problems. They provide versatility in the geometrical modeling of physical structures, guarantee solutions free of spurious modes, and allow a local increase of reso...

This paper deals with the problem of inaccuracy of the solutions generated by metaheuristic approaches for bi-criteria {0,1}-knapsack problems. A hybrid approach which combines systematic and heuristic search is proposed to reduce that inaccuracy in the context of a scatter search method. The components of the method are used to determine regions in the decision space to be systematically searc...

A 5-kW multilevel modular capacitor-clamped dc–dc converter (MMCCC) with bi-directional power management and real-time fault bypassing capability will be presented in this study. The modular structure of the MMCCC topology was utilised to build this 5-kW converter with necessary redundancy and hot swap feature for industrial and automotive applications including a future plug-in hybrid or fuel-...

Deep learning has been demonstrated its effectiveness and efficiency in music genre classification. However, the existing achievements still have several shortcomings which impair the performance of this classification task. In this paper, we propose a hybrid architecture which consists of the paralleling CNN and Bi-RNN blocks. They focus on spatial features and temporal frame orders extraction...